Intelligent wild geese algorithm with deep learning driven short term load forecasting for sustainable energy management in microgrids

B Deepanraj, N Senthilkumar, T Jarin, AE Gurel… - … Informatics and Systems, 2022 - Elsevier
Energy management in power grids becomes essential to reduce the cost for the consumer
and improve the power supply reliability. The microgrid is a vital part of the smart grid and it …

Lagrange Multiplier-Based Optimization for Hybrid Energy Management System with Renewable Energy Sources and Electric Vehicles

HG Tran, L Ton-That, NGM Thao - Electronics, 2023 - mdpi.com
The issues of energy scarcity and environmental harm have become major priorities for both
business and human progress. Hence, it is important and useful to focus on renewable …

Hybrid deep neural network model for multi-step energy prediction of prosumers

M Antal, L Toderean, T Cioara, I Anghel - Applied Sciences, 2022 - mdpi.com
The transition toward decentralized renewable energy transforms the energy grid, with the
prosumers playing an active role in the local energy management. Accurate day-ahead …

[HTML][HTML] Simulation-Based Hybrid Energy Storage Composite-Target Planning with Power Quality Improvements for Integrated Energy Systems in Large-Building …

C He, X Tan, Z Liu, J An, X Li, G Li, R Zhang - Electronics, 2024 - mdpi.com
In this paper, we present an optimization planning method for enhancing power quality in
integrated energy systems in large-building microgrids by adjusting the sizing and …

Design and optimization of combined cooling, heating, and power microgrid with energy storage station service

N Ning, YW Liu, HY Yang, LL Li - Symmetry, 2022 - mdpi.com
This study aims to symmetrically improve the economy and environmental protection of
combined cooling, heating and power microgrid. Hence, the characteristics of configuration …

CLSTM-AR-Based multi-dimensional feature fusion for multi-energy load forecasting

B Ren, C Huang, L Chen, S Mei, J An, X Liu, H Ma - Electronics, 2022 - mdpi.com
Integrated Energy Systems (IES) are an important way to improve the efficiency of energy,
promote closer connections between various energy systems, and reduce carbon …

Vulnerable Area Identification of Islanded Combined Electrical and Heat Networks Based on Static Sensitivity Analysis

Z Song, Y Nie, L Yang - Electronics, 2023 - mdpi.com
In combined electrical and heat networks (CEHNs) under the Islanded mode, the district
heating network (DHN) is more vulnerable to fluctuations in the electrical load, resulting in …

Distributionally Robust Optimal Dispatching of CHP Microgrid considering Concentrating Solar Power and Uncertainty

Z Ma, H Zhao, Q Su, X Wang - Mathematical Problems in …, 2022 - Wiley Online Library
In order to solve the problem of diversified low‐carbon energy supply with renewable energy
as the main body, concentrating solar power (CSP) stations are introduced to act as …

Fractional order modeling of thermal circuits for an integrated energy system based on natural transformation

M Li, J Ye - Electronics, 2022 - mdpi.com
With the development of the economy, energy systems have become the focus of academia
and industry. The integrated energy system formed by electricity, gas, and heat networks can …

Short term load prediction of regional heating and heat storage system based on neural network

Y Liu, H Liu - Thermal Science, 2024 - doiserbia.nb.rs
Accurate heat load prediction is the key to achieve fine control, energy conservation, and
carbon reduction of regional hydronics. Taking the regional hydronics of a city in the north of …